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The Climate Research Laboratory
places special emphasis on studies of unusual
variations in weather and climate, the physical
process of climate and its changes, and understanding
and predicting the climate and its changes
through using numerical models.
The objectives of these studies are to establish
a physical basis for dynamic, long-rangen
weather forecasts on a time scale of one to
six months, to predict the global climate
over
periods of several months to several years,
and to assess the response of the climate
to
natural and man-made influences over periods
of years to decades. |
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Study of climate
system and climate model |
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Development of climate prediction
and long-range forecast |
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Detection and impact assessment
of climate change |
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Study of extreme climate |
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Study of paleoclimatology |
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Fundamental studies
for the improvement of short-term
climate prediction |
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A study of climate variability
and its effects on East Asia |
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Future climate change projection
and production using a coupled
atmosphere-ocean model. |
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Data analysis to understand,
monitor and project climate change
in East Asia |
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Development of regional climate
scenarios using downscaling technique |
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Production of local climate
information for impact assessment
study |
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Understanding the climate
variability is essential to comprehend
the mechanism of unusual variations
in weather and climate and improve predicting
the climate and its changes. East Asian
climate is significantly influenced
by various phenomena such as the Madden-Julian
Oscillation (MJO), the North Atlantic
oscillation (NAO), the Artic Oscillation
(AO), and El Nino Southern Oscillation
(ENSO).
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Long-term variation
of large scale atmospheric circulation
is examined by using observational
data to understand those mechanism
and impacts. |
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Various numerical experiments
are performed with an atmospheric
general circulation model (AGCM)
and a regional climate model (RCM).
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30-60-day
bandpass-filtered daily anomalies of
850 hPa wind and OLR are regressed on
the precipitation in Korean region during
summer 1979-2005. Figure shows that
summer rainfall in Korea is associated
with strong surge of southwesterly wind
from southeastern part of China, which
are propagated from tropical region. |
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Observations, future projections
of global and regional climate are collected
to investigate the past, present, and
future climate change in East Asia.
Data analysis results enhance understanding
of atmospheric and climate variability
and monitoring of climate change. Analysis
is conducted using statistical tool
such as EOF, CSEOF, regression, parametric
methods. |
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Main themes of
the studies are
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Climate processes:
Atmosphere, Ocean and Land |
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Climate predictability:
East Asian Monsoon, Intraseasonal
Oscillation |
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Climate system: North
Atlantic Oscillation, Artic
Oscillation, El Nino/La
Nina, Storm track |
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Climate change: Global
warming, Climate change
indicator |
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Climate Extremes: heat
wave, drought, heavy rainfall,
heavy snowfall, cold surge |
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Paleoclimate |
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Analysis
result focusing on climate
change over Korea is used
to understand the climate
change impact assessment
on agriculture, water-resources,
ecosystems, etc. It promotes
the application of climate
data. |
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During
the last century, the evidence of increase
of the mean annual temperature at the
Earth's surface and the greenhouse
gases in the atmosphere is clear. In
the past decade, significant progress
has been made toward a better understanding
of the climate system and toward improved
projections of long-term climate change.
In these regards, we have been producing
some future climate scenarios and projections
using a coupled atmosphere-ocean model. |
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Change in annual
mean surface air temperature and
precipitation rate in the future. |
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Change in annual mean sea-level
pressure and 200 hPa wind in the
future. The low-pressure nomaly
in high-latitudes, the high-pressure
anomaly in mid-latitudes and the
strong westerly winds between
them will be dominant. |
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Recently,
it has become more important to develop
dynamical climate models as a crucial
tool to predict the future climate and
understand the mechanism of climate
variability.
The Climate Research Laboratory constructed
a dynamic ensemble system using a global
climate model and has run this system
since several years for producing climate
prediction information. As a future
research project, a plan is afoot to
develop a coupled ocean-atmosphere forecast
systems for the purposes of short-term
climate prediction which covers from
seasonal to interannual period. |
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The
difference between the precipitation
in DJF of 1997/98 (El Nino) and
DJF of 1988/89 (La Nina), obtained
from (a) CMAP precipitation and
(b) hindcast data of the global
model. Hindcast experiments were
performed with persisted SST anomaly
as SMIP/HFP type. |
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The Climate Research Laboratory has produced
the information on seasonal outlook
by using Meteorological Research Institute
(METRI) dynamic ensemble model several
years ago, and has provided it to related
operational and research centers. In
2005, the METRI 3-month prediction system
has been developed using METRI AGCM.
The results from the METRI 3-month prediction
system have been provided every month
since March 2006 to the operational
division. |
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The METRI Ensemble
Prediction System performs 10-member
ensemble runs based on the METRI
AGCM with lagged initial conditions.
As a surface boundary forcing,
observed sea surface temperature
(SST) anomaly is persisted for
forecast periods. |
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A sample figure
for the 3-month forecast produced
by the METRI EPS. The METRI AGCM
produces similar patterns to target
month observation for every lead
times, resulting in consistence
with each prediction, although
shorter lead time makes better
prediction in general. |
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High resolution climate information is critical
for an assessment of climate change
impacts and possible adaptation/mitigation
measures. This is especially the case
for regions, such as the Korean peninsula,
characterized by complex coastlines
and topographical features. We developed
the dynamic downscaling system based
on the regional climate model, with
focus on the possible application of
the fine scale fields to impacts studies
Our ultimate purpose is to investigate
the potential change in regional surface
climate due to the global warming and
to produce higher quality regional surface
climate information with a focus on
the Korean Peninsula for comprehensive
impact assessment. Toward this purpose,
we carried out a series of experiments
to assess whether the regional climate
model system developed in this study
are adequate for providing reasonable
fine scale information on various temporal
and spatial scales. |
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RegCM3 one-way double-nested
domain system and topography for
the mother (60 km grid spacing)
and nested (20 km grid spacing)
simulations. |
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